Cognitive architectures (eg, ACT-R) have not traditionally been used to understand intuitive
decision-making; instead, models tend to be designed with the intuitions of their modelers …

В работе представлен знаковый подход к проблеме моделирования процесса
целеполагания и его интеграции с методами синтеза плана поведения. На основе …

Robotics systems need to be robust and adaptable to multiple operational conditions, in
order to be deployable in different application domains. Contextual knowledge can be used …

This paper considers a sign-based approach to the problem of modeling the goal-setting
process and integrating it with behavior planning methods. The GoalMAP algorithm, which is …

The Robotic Collaborative Technology Alliance (RCTA) seeks to provide adaptive robot
capabilities which move beyond traditional metric algorithms to include cognitive …

A key capability that distinguishes humans from intelligent agents is the ability to generate
and select new goals in an unexpected situation, while re-prioritizing existing goals. This …

The growing abundance of autonomous systems is driving the need for robust performance.
Most current systems are not fully autonomous and often fail when placed in real …

We describe a computational cognitive model intended to be a generalizable classifier that
can provide context-based feedback to semantic perception in robotic applications. Many …

Goal-driven autonomy is an agent model for managing a dynamic environment by reasoning
about current and potential goals while planning and acting. Since unexpected events and …

The Kasai is an algorithm for processing data series. It organizes the incoming data series
as a set of rules and these rules are used to predict the next item in the data series. In this …